Naast een wetenschappelijk semesterprogramma organiseert het CWI minisymposia, masterclasses, hackathons en data-challenges. Daarnaast hosten we reguliere wetenschappelijke bijeenkomsten zoals leesgroepen, seminars, samenwerkingssessies en open-probleemsessies. Dit vullen we in op een flexibele manier, waarbij we rekening houden met de voorkeuren van de deelnemers.
Evenementen 2022
Een overzicht van komende CWI evenementen (Nederlands- en Engelstalig)
Life Sciences and Health Seminar Georgios Andreadis, Solon Pissis
Multi-Objective Dual Simplex-Mesh Based Deformable Image Registration for 3D Medical Images; Differentially Private String Sanitization for Frequency-Based Mining Tasks
PhD Defense Yous van Halder (Scientific Computing)
Everyone is invited to attend the public defense of Yous van Halder of his PhD thesis: Efficient Sampling and Solver Enhancement for Uncertainty Quantification
PhD Defence Jan Czajkowski (A&C)
Everyone is welcome to attend the defence of Jan Czajkowski. Title of his thesis 'Post-Quantum Security of Hash Functions'. At the Agnietenkapel in Amsterdam or via live stream: https://webcolleges.uva.nl/Mediasite/Play/d21e6395814f4712a854c2b0718b65941d
QuSoft seminar with Tim Coopmans (TU Delft) and Yaroslav Herasymenko (Leiden University)
Everyone is welcome to attend the online QuSoft seminar with Tim Coopmans, title 'LIMDD: A Decision Diagram for the Classical Simulation of Quantum Computing Including Stabilizer States' and Yaroslav Herasymenko, title 'Methods for Entangled State Preparation from Many-Body Quantum Theory' If you like to attend, please send an email to Jop Briet or Subha Patro for the zoomlink.
Symposium Post-Quantum Cryptography (Episode III)
Dutch Seminar on Digital Energy: Na Li (Harvard University)
This new seminar series aims to bring together mathematics and CS researchers from the Netherlands and internationally, working on analytical techniques for next-generation energy systems. On 12 January, Na Li (Harvard University) will talk about 'Learning and control for residential demand response'.
Life Sciences and Health Arkadiy Dushatskiy, Michelle Sweering
Data variation-aware medical image segmentation
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